Graduate Analytics & AI Consultant at AECOM
Melbourne, Victoria, Australia -
Full Time


Start Date

Immediate

Expiry Date

12 Jul, 25

Salary

77000.0

Posted On

12 Apr, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

START HERE. GROW HERE.

At AECOM, we’re delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world’s trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations.
There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of nearly 52,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.
We’re one global team driven by our common purpose to deliver a better world. Join us.
Job Description
We are looking for an Analytics Consultant to translate business needs into data-driven solutions. You will tackle complex analytical challenges across industries like infrastructure, utilities, and government, collaborating with teams to develop AI models, optimise operations, and drive informed decision-making.

Responsibilities
  • Data Science & Advanced Analytics – Design and implement AI-driven analytics solutions, develop predictive models, and create interactive visualizations to drive data-driven decision-making.
  • Systems Analysis & Programming – Develop, maintain, and optimise data pipelines and application code using Python, R, SQL, and cloud-based tools while ensuring seamless system integration.
  • Consulting & Stakeholder Engagement – Collaborate with clients and cross-functional teams to align analytics solutions with business goals, translating complex data insights into actionable strategies.
  • Automation & Continuous Improvement – Automate workflows, enhance data governance, and implement best practices for model monitoring, security, and version control.
  • Innovation & Knowledge Sharing – Drive a culture of continuous learning by leading workshops, reviewing analytics models, and implementing AI-driven enhancements.
    Qualifications
Loading...